倪宁

学系：人工智能系

Stay Hungry，Stay Foolish！

欢迎乐观开朗、扎实基础、勇于探索的同学们与我联系，期待与你在人工智能与计算机视觉领域互相学习、共同进步！"             

个人联系方式：cningni@163.com

研究兴趣：图像、视频恢复与增强、遥感影像处理、卫星视频目标追踪

学术发表：

[1]N. Ni and L. Zhang. SLVR: Super-Light Visual Reconstruction via Blueprint Controllable Convolutions and Exploring Feature Diversity Representation [100]. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR)， 2025: 400-410.（CCF-A 类会议）

[2]N. Ni and L. Zhang. Hazy Low-Quality Satellite Video Restoration Via Learning Optimal Joint Degradation Patterns and Continuous-Scale Super-Resolution Reconstruction [100]. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR)， 2025: 12690-12699.（CCF-A 类会议）

[3]N. Ni and L. Zhang. Deformable Convolution Alignment and Dynamic Scale-Aware Network for Continuous-Scale Satellite Video Super-Resolution [J]. IEEE Transactions on Geoscience and Remote Sensing， 2024， pp. 1-17， Doi: 10.1109/TGRS 2024.3366550.（SCI 一区Top 期刊）

[4]N. Ni and L. Zhang. Satellite Video Continuous Space–Time Super-Resolution via Mask-Based Temporal-Aware Warping and Cross-Level Frequency Integration [J]. IEEE Transactions on Geoscience and Remote Sensing， 2026， pp. 1-17， Doi: 10.1109/TGRS.2026.3666370.（SCI 一区Top 期刊）

[5]N. Ni， H. Wu and L. Zhang. Hierarchical Feature Aggregation and Self-Learning Network for Remote Sensing Image Continuous-Scale Super-Resolution [J]. IEEE Geoscience and Remote Sensing Letters， 2022， pp. 1-5， Doi: 10.1109/LGRS.2021.3122985.（SCI 二区 期刊）

[6]N. Ni， H. Wu and L. Zhang. Deformable Alignment And Scale-Adaptive Feature Extraction Network For Continuous-Scale Satellite Video Super-Resolution [100]. Proceedings of the IEEE International Conference on Image Processing (ICIP)， IEEE， 2022， pp. 2746-2750， Doi: 10.1109/ICIP46576.2022.9897998. （CCF-C 类会议）

[7]H. Wu， N. Ni， S. Wang and L. Zhang. Conditional Stochastic Normalizing Flows for Blind Super-Resolution of Remote Sensing Images [J]. IEEE Transactions on Geoscience and Remote Sensing， 2023， pp. 1-16， Doi: 10.1109/TGRS.2023.3304297.（SCI 一区Top 期刊）

[8]H. Wu， N. Ni and L. Zhang. Learning Dynamic Scale Awareness and Global Implicit Functions for Continuous-Scale Super-Resolution of Remote Sensing Images [J]. IEEE Transactions on Geoscience and Remote Sensing， 2023， pp. 1-15， Doi: 10.1109/TGRS.2023.3240254.（SCI 一区Top期刊）

[9]H. Wu， N. Ni and L. Zhang. Lightweight Stepless Super-Resolution of Remote Sensing Images via Saliency-Aware Dynamic Routing Strategy [J]. IEEE Transactions on Geoscience and Remote Sensing， 2023， pp. 1-17， Doi: 10.1109/TGRS.2023.3236624.（SCI 一区Top 期刊）